Reducing misclassification bias in severe malaria research

Matthew M Ippolito; Matthew L Robinson

doi:10.1016/j.xcrm.2022.100789

Reducing misclassification bias in severe malaria research

Cell Rep Med. 2022 Oct 18;3(10):100789. doi: 10.1016/j.xcrm.2022.100789.

Authors

Matthew M Ippolito¹, Matthew L Robinson²

Affiliations

¹ Department of Medicine, Divisions of Clinical Pharmacology and Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; W. Harry Feinstone Department of Molecular Microbiology and Immunology, Malaria Research Institute, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA. Electronic address: [email protected].
² Department of Medicine, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

Abstract

By incorporating platelets and PfHRP2 into standard case definitions of severe falciparum malaria, Watson et al.¹ increased diagnostic specificity to 93%. The approach trades off sensitivity and might introduce a selection bias but offers a helpful way to handle misclassification.

Publication types

Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Comment

MeSH terms

Antigens, Protozoan
Bias
Blood Platelets
Humans
Malaria* / diagnosis
Protozoan Proteins
Selection Bias

Substances

Antigens, Protozoan
Protozoan Proteins

Grants and funding

K23 AI139343/AI/NIAID NIH HHS/United States